Evidence map›Paper›PMID 39058757›Full record

ArticlePloS one2024

Delineating maternal influence in regulation of variance in major economic traits of White Leghorns: Bayesian insights.

Aneet Kour, R N Chatterjee, K S Rajaravindra, L Leslie Leo Prince, Santosh Haunshi, M Niranjan, B L N Reddy, U Rajkumar

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Growth-Associated SNPs of theAnimals : an open access journal from MDPI · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Aneet KourPoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.
R N ChatterjeePoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.
K S RajaravindraPoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.
L Leslie Leo PrincePoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.ORCID 0000-0003-0080-890X
Santosh HaunshiPoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.
M NiranjanPoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.
B L N ReddyPoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.
U RajkumarPoultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.ORCID 0000-0003-2712-6546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proper variance partitioning and estimation of genetic parameters at appropriate time interval is crucial for understanding the dynamics of trait variance and genetic correlations and for deciding the future breeding strategy of the population. This study was conducted on the same premise to estimate genetic parameters of major economic traits in a White Leghorn strain IWH using Bayesian approach and to identify the role of maternal effects in the regulation of trait variance. Three different models incorporating the direct additive effect (Model 1), direct additive and maternal genetic effect (Model 2) and direct additive, maternal genetic and maternal permanent environmental effects (Model 3) were tried to estimate the genetic parameters for body weight traits (birth weight, body weight at 16, 20, 40 and 52 weeks), Age at sexual maturity (ASM), egg production traits (egg production up to 24, 28, 40, 52, 64 and 72 weeks) and egg weight traits (egg weight at 28, 40 and 52 weeks). Model 2 and Model 3 with maternal effects were found to be the best having the highest accuracy for almost all the traits. The direct additive genetic heritability was moderate for ASM, moderate to high for body weight traits and egg weight traits and low to moderate for egg production traits. Though the maternal heritability (h2mat) and permanent environmental effect (c2mpe) was low (<0.1) for most of the traits, they formed an important component of trait variance. Traits like egg weight at 28 weeks (0.14±0.06) and egg production at 72 weeks (0.13±0.07) reported comparatively higher values for c2mpe and h2mat respectively. Additive genetic correlation was high and positive between body weight traits, between egg weight traits, between consecutive egg production traits and between body weight and egg weight traits. However, a negative genetic correlation existed between egg production and egg weight traits, egg production and body weight traits, ASM and early egg production traits. Overall, a moderate positive genetic correlation was estimated between ASM and body weight traits and ASM and egg weight traits. Based on our findings, we can deduce that maternal effects constitute an important source of variation for all the major economic traits in White Leghorn and should be necessarily considered in genetic evaluation programs.

Indexed as

Bayes TheoremBody WeightChickensMaternal InheritanceAnimalsFemaleMaleModels, GeneticQuantitative Trait, Heritable

Identifiers

PMID39058757
PMCPMC11280281

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.